Towards a model development for adaptive strategies that will enhance adaptation to climate change for emerging farmers in Limpopo province, South Africa

• Main Author: Tshikororo, Mpho
• Other Authors: Kilonzo, B. M.
• Format: Others
• Language: en
• Published: 2020
• Subjects: Adaptation; Adaptive strategies; Farmers; Climate change; Emerging; Institutional factors; Logic regression; 632.1096825; Climatic changes > South Africa > Limpopo; Climatology > South Africa > Limpopo; Global temperature changes > South Africa > Limpopo; Farmers > South Africa > Limpopo; Climatic variations > South Africa > Limpopo
• Online Access: Tshikororo, Mpho (2020) Towards a model development for adaptive strategies that will enhance adaptation to climate change for emerging farmers in Limpopo province, South Africa. University of Venda, South Africa.<http://hdl.handle.net/11602/1534>.; http://hdl.handle.net/11602/1534

PhD (Agricultural Economics) === Department of Agricultural Economics and Agribusiness === Climate change is a global phenomenon that has been of great concern and its tackle is of outmost importance for food security among other things. In response to climate change adaptation, the study intended to determine awareness of climate change, its critical determinants and impacts among farmers, particularly emerging farmers. The study also investigated socio-economic characteristics of farmers that play a vital role in selection of various adaptive strategies, furthermore, institutional factors that contributed in emerging farmers’ decision to either adapt or not to climate change were also investigated. The main aim of the study was to develop a model that could be used in future to enhance adaptation to climate change through various identified adaptive strategies in Limpopo province of South Africa. The study was conducted in five districts of Limpopo province, namely: Capricorn, Mopani, Sekhukhune, Vhembe and Waterberg. The study made use of structured questionnaire to collect data from 206 emerging farmers. A two-stage cluster sampling technique was employed to select participants of the study. Statistical Package for the Social Sciences (SPSS; version 25, 2017) was used to analyse the data; cross-tabulation, multinomial and binary logistic models were used for analysis. Preliminary descriptive statistics results from cross-tabulation indicated that farmers were aware of climate change; had noted various critical determinants of climate change and were aware of impacts of climate change during production seasons between 2014 and 2018. Using Multinomial Logit model, further analysis indicated that there are socio-economic characteristics that significantly influenced selection of various adaptive strategies among farmers. Variables that significantly influenced selection of various adaptive strategies were household size, farming experience, formal education, occupation, gender and monthly on-farm income. The study also discovered that institutional factors such as accessing different kinds of extension services, securing source of support and accessing climate change information such as weather forecast, positively and significantly influence farmers’ decision to adapt to climate change. Recommendations of the study were that there should be capacity building in a form of training programmes that promote climate change awareness as farmers need to be capacitated to enable them to take strategic decisions on a daily basis. Furthermore, it was also recommended that training of farmers should target illiterate farmers and farmer without off-farm occupation and specific needs of farmers should be taken into consideration when initiating adaptation initiatives as adaptation to climate change is best monitored at farm level. The study also recommended that various stakeholders such as community of practice, climatologists, and agro-meteorologists should provide various support to emerging farmers to improve farmers’ resilience towards climate change through adaptation. === NRF